Search results for "Joint probability distribution"

showing 10 items of 52 documents

Testing for Asymmetric Information in Insurance Markets: A Multivariate Ordered Regression Approach

2016

The positive correlation (PC) test is the standard procedure used in the empirical literature to detect the existence of asymmetric information in insurance markets. This article describes a new tool to implement an extension of the PC test based on a new family of regression models, the multivariate ordered logit, designed to study how the joint distribution of two or more ordered response variables depends on exogenous covariates. We present an application of our proposed extension of the PC test to the Medigap health insurance market in the United States. Results reveal that the risk–coverage association is not homogeneous across coverage and risk categories, and depends on individual so…

Economics and EconometricsMultivariate statistics05 social sciencesOrdered probitRegression analysis01 natural sciencesRegressionMedigap010104 statistics & probabilityJoint probability distributionAccounting0502 economics and businessCovariateEconometricsEconomicsOrdered logit050207 economics0101 mathematicsFinanceJournal of Risk and Insurance
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The Invariant Distribution of Wealth and Employment Status in a Small Open Economy with Precautionary Savings

2019

Abstract We study optimal savings in continuous time with exogenous transitions between employment and unemployment as the only source of uncertainty in a small open economy. We prove the existence of an optimal consumption path. We exploit that the dynamics of consumption and wealth between jumps can be expressed as a Fuchsian system. We derive conditions under which an invariant joint distribution for the state variables , i.e., wealth and labour market status, exists and is unique. We also provide conditions under which the distribution of these variables converges to the invariant distribution. Our analysis relies on the notion of T-processes and applies results on the stability of Mark…

Economics and EconometricsState variableApplied Mathematicsmedia_common.quotation_subject05 social sciencesSmall open economyMarkov processInvariant (physics)symbols.namesakePrecautionary savingsJoint probability distributionTweedie distribution0502 economics and businessUnemploymentsymbolsEconometricsEconomics050206 economic theory050205 econometrics media_commonSSRN Electronic Journal
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Backwards Martingales and Exchangeability

2020

With many data acquisitions, such as telephone surveys, the order in which the data come does not matter. Mathematically, we say that a family of random variables is exchangeable if the joint distribution does not change under finite permutations. De Finetti’s structural theorem says that an infinite family of E-valued exchangeable random variables can be described by a two-stage experiment. At the first stage, a probability distribution Ξ on E is drawn at random. At the second stage, independent and identically distributed random variables with distribution Ξ are implemented.

Exchangeable random variablesDiscrete mathematicsIndependent and identically distributed random variablesDistribution (number theory)Conditional independenceJoint probability distributionProbability distributionConditional probability distributionRandom variableMathematics
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Order-distance and other metric-like functions on jointly distributed random variables

2013

We construct a class of real-valued nonnegative binary functions on a set of jointly distributed random variables, which satisfy the triangle inequality and vanish at identical arguments (pseudo-quasi-metrics). These functions are useful in dealing with the problem of selective probabilistic causality encountered in behavioral sciences and in quantum physics. The problem reduces to that of ascertaining the existence of a joint distribution for a set of variables with known distributions of certain subsets of this set. Any violation of the triangle inequality or its consequences by one of our functions when applied to such a set rules out the existence of this joint distribution. We focus on…

FOS: Computer and information sciencesMeasurable functionComputer Science - Artificial IntelligenceGeneral MathematicsMathematics - Statistics TheoryStatistics Theory (math.ST)Quantitative Biology - Quantitative Methods01 natural sciences050105 experimental psychologyJoint probability distribution0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsQuantitative Methods (q-bio.QM)60B99 (Primary) 81Q99 91E45 (Secondary)Probability measureMathematicsDiscrete mathematicsTriangle inequalityApplied MathematicsProbability (math.PR)05 social sciencesFunction (mathematics)Artificial Intelligence (cs.AI)Distribution (mathematics)FOS: Biological sciencesSample spaceRandom variableMathematics - ProbabilityProceedings of the American Mathematical Society
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On the error sequences of M-ary FSK modulation schemes over Nakagami-m fading channels

2012

In this paper, we have studied some important statistical properties of error sequences of M-ary orthogonal frequency-shift keying (FSK) modulation schemes over Nakagami-m fading channels. We have derived the joint probability density function (PDF) of error sequences of arbitrary length. From the joint PDF, we have found an analytical solution for the autocorrelation function (ACF) of the error sequences. The correctness of the analytical expression for the ACF of error sequences has been confirmed by simulations, where the simulation results are obtained by using the sum-of-sinusoids principle. The derived joint PDF of error sequences is useful for the development of first-order and highe…

Frequency-shift keyingMarkov processNakagami distributionProbability density functionKeyingMarkov modelsymbols.namesakeJoint probability distributionStatisticssymbolsFadingAlgorithmComputer Science::Information TheoryMathematicsThe 2012 International Conference on Advanced Technologies for Communications
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Bartlett formalism generating functions and Z-transforms in fluctuation and noise theory

1983

Abstract “La theorie des fonctions generatrices s'adapte elle meme et avec la plus grande generalite aux questions des probabilite les plus difficiles.” (Laplace, 1812) “An important part of probability theory consists of the derivation of the probability distribution of the sum of n random variables, each of which obeys a given probability law, and the development of asymptotic forms of these distributions valid for increasing n. Probability generating functions owe their dominant position to the simplification they permit to both problems. Their employment to obtain the successive moments of a probability distribution and to solve the difference equations of probability theory is ancillar…

Generating FunctionPopulation DynamicBartlett formalismMoment-generating functionNoise TheoryConvolution of probability distributionsAlgebra of random variablesStochastic ProceNuclear Energy and EngineeringProbability theoryJoint probability distributionCalculusApplied mathematicsProbability distributionRandom variableSettore ING-IND/19 - Impianti NucleariLaw of the unconscious statisticianMathematicsAnnals of Nuclear Energy
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Hyperspectral Texture Metrology Based on Joint Probability of Spectral and Spatial Distribution

2021

International audience; Texture characterization from the metrological point of view is addressed in order to establish a physically relevant and directly interpretable feature. In this regard, a generic formulation is proposed to simultaneously capture the spectral and spatial complexity in hyperspectral images. The feature, named relative spectral difference occurrence matrix (RSDOM) is thus constructed in a multireference, multidirectional, and multiscale context. As validation, its performance is assessed in three versatile tasks. In texture classification on HyTexiLa, content-based image retrieval (CBIR) on ICONES-HSI, and land cover classification on Salinas, RSDOM registers 98.5% acc…

Hyperspectral imagingbusiness.industryComputer scienceFeature extractionHyperspectral imagingPattern recognitionContext (language use)15. Life on landComputer Graphics and Computer-Aided DesignSupport vector machineGabor filtermetrologyJoint probability distributionFeature (computer vision)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Artificial intelligencebusinessImage retrievaltextureSoftware
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Response spectrum analysis of frame structures: reliability-based comparison between complete quadratic combination and damping-adjusted combination

2019

In the framework of seismic design of structures, response spectrum analysis (RSA) is the most commonly used approach in practice. The most popular combination rule is the complete quadratic combination (CQC) which is also prescribed by the most of seismic design codes and is based on the assumptions that the seismic acceleration is a white noise process and the peak factor ratios associated to the total and modal responses are unitary. Recently, the damping adjusted combination (DAC) rule has been developed for base-isolated structures to overcome the aforementioned simplified assumptions. Although it has been proved that the simplifications about peak factors lead to noticeable errors in …

Joint PDFComplete quadratic combination (CQC); Damping-adjusted combination (DAC); Joint PDF; Reliability assessment; Response spectrum analysis (RSA); Time history analysis (THA); Civil and Structural Engineering; Building and Construction; Geotechnical Engineering and Engineering Geology; Geophysics021110 strategic defence & security studiesResponse spectrum analysis (RSA)Reliability assessment0211 other engineering and technologiesTorsion (mechanics)02 engineering and technologyBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologySeismic analysisGeophysicsQuadratic equationModalDamping-adjusted combination (DAC)Joint probability distributionLog-normal distributionTime history analysis (THA)Response spectrumAlgorithmComplete quadratic combination (CQC)Civil and Structural EngineeringMathematicsBulletin of Earthquake Engineering
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Horizontal inequity comparisons

1998

In this paper, we expound the idea that horizontal inequity (HI) in different tax systems be compared by transplanting the HI from one tax system into the other, as a mapping between its pre- and post-tax living standard distributions, and then applying known results to compare the extent of association present in the two joint distributions. We make this idea operational by means of axioms which, we show, lead to an implementable procedure based on the `copula'. Statistical inference procedures are discussed, and illustrative empirical exercises are undertaken for the UK, Canadian and Israeli tax and benefit systems.

Joint probability distributionStatistical inferenceEconomicsAssociation (psychology)Mathematical economicsAxiomPublic financeWorking Paper Series
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Selectivity in Probabilistic Causality: Where Psychology Runs Into Quantum Physics

2011

Given a set of several inputs into a system (e.g., independent variables characterizing stimuli) and a set of several stochastically non-independent outputs (e.g., random variables describing different aspects of responses), how can one determine, for each of the outputs, which of the inputs it is influenced by? The problem has applications ranging from modeling pairwise comparisons to reconstructing mental processing architectures to conjoint testing. A necessary and sufficient condition for a given pattern of selective influences is provided by the Joint Distribution Criterion, according to which the problem of "what influences what" is equivalent to that of the existence of a joint distr…

Linear programming81P05 (Primary) 91E99 (Secondary)media_common.quotation_subjectFOS: Physical sciencesMathematics - Statistics TheoryQuantum entanglementStatistics Theory (math.ST)System of linear equations01 natural sciencesQuantitative Biology - Quantitative Methods050105 experimental psychologyCausality (physics)Joint probability distributionQuantum mechanics0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsSet (psychology)ta515General PsychologyQuantitative Methods (q-bio.QM)media_commonta113ta112Quantum PhysicsVariablesta114Applied Mathematicsta11105 social sciencesFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Random variableData Analysis Statistics and Probability (physics.data-an)
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